title: Comparison of surface and intramuscular EMG pattern recognition for simultaneous wrist/hand motion classification.
abstract: The simultaneous control of multiple degrees of freedom (DOFs) is important for the intuitive, life-like control of artificial limbs. The objective of this study was to determine whether the use of intramuscular electromyogram (EMG) improved pattern classification of simultaneous wrist/hand movements compared to surface EMG. Two pattern classification methods were used in this analysis, and were trained to predict 1-DOF and 2-DOF movements involving wrist rotation, wrist flexion/extension, and hand open/close. The classification methods used were (1) a single pattern classifier discriminating between 1-DOF and 2-DOF motion classes, and (2) a parallel set of three classifiers to predict the activity of each of the 3 DOFs. We demonstrate that in this combined wrist/hand classification task, the use of intramuscular EMG significantly decreases classification error compared to surface EMG for the parallel configuration (p<0.01), but not for the single classifier. We also show that the use of intramuscular EMG mitigates the increase in errors produced when the parallel classifier method is trained without 2-DOF motion class data.
authors.forename: Lauren H
authors.initials: LH
authors.lastname: Smith
authors.forename: Levi J
authors.initials: LJ
authors.lastname: Hargrove
mesh_terms: D001186:Artificial Limbs; D004576:Electromyography / Q000379:methods*; D006225:Hand / Q000502:physiology*; D006801:Humans; D007273:Injections, Intramuscular; D009068:Movement; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012399:Rotation; D012815:Signal Processing, Computer-Assisted; D014953:Wrist / Q000502:physiology*